Optimal Allocation of Distributed Generation in Distribution Systems

Integrating distributed generators (DGs) in radial distribution networks plays a vital role in improving the system performance via enhancing the bus voltage and minimizing the system losses. Nonetheless, uncoordinated DGs integration may cause technical issues if they are not efficiently planned, controlled, and operated. Therefore, recent heuristic and evolutionary optimization algorithms are proposed to identify DGs’ optimal allocations and rated powers. This objective function is minimizing the total active power loss of the network; the considered constraints are load flow, buses’ voltages, and transmission lines. The proposed algorithms are characterized by ease of implementation, high convergence rate, and avoiding stuck in local optima. The proposed algorithms are applied on different radial distribution networks, moreover two modes of DGs, unity power factor (DGs generate only active power) and non-unity power factor (DGs generate active and reactive powers), are studied. The results obtained are compared to other reported approaches. The obtained results confirm the superiority and reliability of the proposed methodologies in achieving a minor power loss via installing the DGs in the correct sites.

Research Team

  1. Almoataz Y. Abdelaziz

Related Journal Publication List

  1. “Robust Approach Based Chimp Optimization Algorithm for Minimizing Power Loss of Electrical Distribution Networks via Allocating Distributed Generators” Ahmed Fathy, Dalia Yousri, Almoataz Y. Abdelaziz, H. S. Ramadan, Sustainable Energy Technologies and Assessments, Vol. 47, October 2021, 101359.
  2. “Day-ahead optimal scheduling of distributed resources and network reconfiguration under uncertain environment” Neeraj Kanwar, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, and Almoataz Y. Abdelaziz, Electric Power Components and Systems, Vol. 48, Issue 18, 2020, pp. 1945–1954.
  3. “Integration of Renewable Distributed Generations in Different Distribution Networks Including a Practical Case Study Based on a Hybrid PSOGSA Optimization Algorithm” Mohamed A. Tolba, Ahmed A. Z. Diab, Artem S. Vanin, Vladimir N. Tulsky and Almoataz Y. Abdelaziz, Electric Power Components and Systems Journal, Vol. 46, Issue 19-20, 2018, pp. 2103-2116.